Comparison of various turbulence models in wind tunnels

Research Article
Open access

Comparison of various turbulence models in wind tunnels

Heng Yuan 1*
  • 1 University of Science and Technology Beijing    
  • *corresponding author 18294300009@163.com
Published on 17 November 2023 | https://doi.org/10.54254/2753-8818/12/20230425
TNS Vol.12
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-83558-135-3
ISBN (Online): 978-1-83558-136-0

Abstract

Wind tunnel test is widely used in aviation, automobile, construction and other fields to simulate the force and flow field distribution of objects in the wind field. However, due to the existence of complex flow phenomena such as turbulence, the accuracy of the wind tunnel test is affected to a certain extent. Therefore, it is of great significance to study the performance of various turbulence models in the wind tunnel to improve the accuracy of the wind tunnel test. This study compares and analyzes the performance of turbulence models in wind tunnel experiments. Based on various turbulence models, numerical simulation methods are employed to simulate and calculate the flow field in wind tunnel experiments, and the results are compared. Through the comparison and analysis, it is found that different turbulence models exhibit different performance in simulating wind tunnel experiments. Among them, the RSM model demonstrates better accuracy and stability, without the presence of boundary layer effects. The purpose of this research is to evaluate and analyze the applicability of various turbulence models in wind tunnel experiments, provide references and guidance for flow field simulations in wind tunnel testing. However, limitations of this study lie in the constraints of the models and computational methods used, and further research and exploration are needed to address these limitations.

Keywords:

CFD turbulence model, wind tunnel, turbulence intensity

Yuan,H. (2023). Comparison of various turbulence models in wind tunnels. Theoretical and Natural Science,12,25-31.
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References

[1]. Ismail, John, J., Pane, E. A., Suyitno, B. M., Rahayu, G. H. N. N., Rhakasywi, D., & Suwandi, A. (2020). Computational fluid dynamics simulation of the turbulence models in the tested section on wind tunnel. Ain Shams Engineering Journal.doi:10.1016/j.asej.2020.02.012

[2]. Han, Jiawei; Zhu, Wenying; Ji, Zengtao (2019). Comparison of veracity and application of different CFD turbulence models for refrigerated transport. Artificial Intelligence in Agriculture, S2589721719300285. doi:10.1016/j.aiia.2019.10.001

[3]. Chen X., Hussain F., She Z. (2017) Predictions of canonical wall-bounded turbulent flows via a modified k-x equation ARTICLE HISTORY. J Turbul, 18:1-35. doi: https://doi.org/ 10.1080/14685248.2016.1243244.

[4]. Aupoix B. (2015) Roughness Corrections for the k-w Shear Stress Transport Model : Status and Proposals. J Fluid Eng;137:1–10. doi: https://doi.org/10.1115/ 1.4028122.

[5]. Wilcox, D. C. (2008). Formulation of the k-w Turbulence Model Revisited. AIAA Journal, 46(11), 2823–2838.doi:10.2514/1.36541

[6]. Hanjalic, K., & Launder, B. E. (1972). A Reynolds stress model of turbulence and its application to thin shear flows. Journal of Fluid Mechanics, 52(04), 609.doi:10.1017/s002211207200268x

[7]. Vladimira M., Sergei KET, Ji B. (2014) Numerical and Experimental Investigations of Air Flow Turbulence Characteristic in the Wind Tunnel Contraction. Appl Mech Mater, 617:275-9. Doi: https://doi.org/10.4028/www.scientific.net/AMM.617.275.

[8]. Rodríguez M., Manuel J., Oro F., Vega M.G., Marigorta E.B., Morros C.S. (2013) Novel design and experimental validation of a contraction nozzle for aerodynamic measurements in a subsonic wind tunnel. Jnl of Wind Engineering and Industrial Aerodynamics, 118:35-43.

[9]. Hernández MAG, López AIM, Jarzabek A.A., Perales JMP, Wu Y., Xiaoxiao S. (2013) Design Methodology for a Quick and Low-Cost Wind Tunnel. INTECH, pp.3-28.

[10]. Ahmed D.E., Eliack E.M. (2014) Optimization of Model Wind-Tunnel Contraction Using CFD.10th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Orlando: HEFAT. P. 87-92.

Cite this article

Yuan,H. (2023). Comparison of various turbulence models in wind tunnels. Theoretical and Natural Science,12,25-31.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation

ISBN：978-1-83558-135-3(Print) / 978-1-83558-136-0(Online)
Editor：Roman Bauer
Conference website: https://www.confmpcs.org/
Conference date: 12 August 2023
Series: Theoretical and Natural Science
Volume number: Vol.12
ISSN：2753-8818(Print) / 2753-8826(Online)

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References

[1]. Ismail, John, J., Pane, E. A., Suyitno, B. M., Rahayu, G. H. N. N., Rhakasywi, D., & Suwandi, A. (2020). Computational fluid dynamics simulation of the turbulence models in the tested section on wind tunnel. Ain Shams Engineering Journal.doi:10.1016/j.asej.2020.02.012

[2]. Han, Jiawei; Zhu, Wenying; Ji, Zengtao (2019). Comparison of veracity and application of different CFD turbulence models for refrigerated transport. Artificial Intelligence in Agriculture, S2589721719300285. doi:10.1016/j.aiia.2019.10.001

[3]. Chen X., Hussain F., She Z. (2017) Predictions of canonical wall-bounded turbulent flows via a modified k-x equation ARTICLE HISTORY. J Turbul, 18:1-35. doi: https://doi.org/ 10.1080/14685248.2016.1243244.

[4]. Aupoix B. (2015) Roughness Corrections for the k-w Shear Stress Transport Model : Status and Proposals. J Fluid Eng;137:1–10. doi: https://doi.org/10.1115/ 1.4028122.

[5]. Wilcox, D. C. (2008). Formulation of the k-w Turbulence Model Revisited. AIAA Journal, 46(11), 2823–2838.doi:10.2514/1.36541

[6]. Hanjalic, K., & Launder, B. E. (1972). A Reynolds stress model of turbulence and its application to thin shear flows. Journal of Fluid Mechanics, 52(04), 609.doi:10.1017/s002211207200268x

[7]. Vladimira M., Sergei KET, Ji B. (2014) Numerical and Experimental Investigations of Air Flow Turbulence Characteristic in the Wind Tunnel Contraction. Appl Mech Mater, 617:275-9. Doi: https://doi.org/10.4028/www.scientific.net/AMM.617.275.

[8]. Rodríguez M., Manuel J., Oro F., Vega M.G., Marigorta E.B., Morros C.S. (2013) Novel design and experimental validation of a contraction nozzle for aerodynamic measurements in a subsonic wind tunnel. Jnl of Wind Engineering and Industrial Aerodynamics, 118:35-43.

[9]. Hernández MAG, López AIM, Jarzabek A.A., Perales JMP, Wu Y., Xiaoxiao S. (2013) Design Methodology for a Quick and Low-Cost Wind Tunnel. INTECH, pp.3-28.

[10]. Ahmed D.E., Eliack E.M. (2014) Optimization of Model Wind-Tunnel Contraction Using CFD.10th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics, Orlando: HEFAT. P. 87-92.

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